A four point algorithm for fast metric cone reconstruction from a calibrated image

Jin Zhou, Baoxin Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a four point algorithm for fast metric reconstruction of a cone from a single calibrated image. The algorithm first estimates the camera's orientation based on two edge lines and a cross section contour, which are derived from user-specified four points. With camera's orientation determined, the cone is reconstructed from the image points. The algorithm enables fast and accurate modeling of cone objects from images, which is verified by the experiments.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
Pages634-643
Number of pages10
EditionPART 2
DOIs
StatePublished - Dec 1 2008
Event4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States
Duration: Dec 1 2008Dec 3 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume5359 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Symposium on Visual Computing, ISVC 2008
CountryUnited States
CityLas Vegas, NV
Period12/1/0812/3/08

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Zhou, J., & Li, B. (2008). A four point algorithm for fast metric cone reconstruction from a calibrated image. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings (PART 2 ed., pp. 634-643). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5359 LNCS, No. PART 2). https://doi.org/10.1007/978-3-540-89646-3_62